Pierre Foulquié

Responsable Data Science @ Kap Code

About Pierre Foulquié

Pierre Foulquié is a Responsable Data Science at Kap Code in Paris, where he leads projects involving text mining and machine learning. He has a strong academic background in economics and data science, having contributed to several academic publications and previously worked as a data scientist at KAPPA SANTE.

Current Role at Kap Code

Pierre Foulquié serves as Responsable Data Science at Kap Code, a position he has held since 2018. In this role, he leads data-related projects, particularly focusing on the Detec't solution, which involves social media listening for health. His work emphasizes the application of advanced text mining techniques and encompasses both supervised and unsupervised learning methods. His contributions are integral to the company's data science initiatives.

Previous Experience at KAPPA SANTE

Prior to his current position, Pierre Foulquié worked at KAPPA SANTE as a Stagiaire chargé de missions - Data Scientist for five months in 2016. This experience allowed him to develop practical skills in data science within a professional setting in the Région de Paris, France. His role involved contributing to various data-driven projects during his internship.

Educational Background in Data Science

Pierre Foulquié studied at Ensae ParisTech, where he achieved a Mastère Spécialisé in Data Science from 2015 to 2016. This one-year program provided him with advanced knowledge and skills in data science methodologies. His education laid a strong foundation for his subsequent roles in the field.

Academic Qualifications in Economics

Pierre Foulquié has a robust educational background in economics. He completed a Magistère Ingénieur Economiste at Aix-Marseille Université from 2012 to 2015. Additionally, he studied at the Université de Bourgogne, where he achieved CPGE ENS Cachan from 2010 to 2012. He also attended the Paris School of Economics, earning an M2R in Economie théorique et empirique from 2014 to 2015. These qualifications have contributed to his analytical capabilities in data science.

Research Contributions

Pierre Foulquié actively contributes to academic publications related to his work in data science. His research outputs are accessible on his ResearchGate profile, showcasing his commitment to advancing knowledge in the field. This involvement reflects his dedication to both practical application and academic inquiry in data science.

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